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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Horizon Initiative

Apex Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of Artificial Intelligence?

Apex Innovations Inc. is seeking a visionary Senior AI Engineer to spearhead our 2026 Horizon Initiative. In this role, you will define the strategic roadmap for our next-generation machine learning systems, working at the intersection of cutting-edge research and scalable production engineering.

We are looking for a leader who doesn't just implement existing models but envisions the capabilities of 2026. You will collaborate with a world-class team of data scientists, researchers, and product engineers to build the foundational AI systems that will power our global platform.

Why Join Us?

  • Work on high-impact projects that shape the industry.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work culture.
  • Access to state-of-the-art computing infrastructure.

Responsibilities

  • Architect and deploy scalable AI/ML models aligned with the 2026 strategic roadmap.
  • Lead research initiatives in Generative AI, Large Language Models (LLMs), and Computer Vision.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.
  • Optimize model performance, latency, and accuracy for real-time applications.
  • Stay ahead of industry trends and integrate emerging technologies into our stack.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or senior capacity.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of deep learning architectures, NLP, and transformer models.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and MLOps pipelines.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps AWS GCP Data Structures Algorithms

Ready to Take This Challenge?

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